Efficient Visual Saliency Detection via Multi-Cues
نویسندگان
چکیده
منابع مشابه
Multi-spectral saliency detection
0167-8655/$ see front matter 2012 Elsevier B.V. A http://dx.doi.org/10.1016/j.patrec.2012.06.002 ⇑ Corresponding author. Tel.: +86 29 8888 8837; fa E-mail address: [email protected] (P. Yan). 1 In this paper, our assumption is to detect the sali assuming there are one or several salient ones in the between the whole object and its parts. This assumptio detection papers and almost all ground trut...
متن کاملMulti-Feature Based Visual Saliency Detection in Surveillance Video
The perception of video is different from that of image because of the motion information in video. Motion objects lead to the difference between two neighboring frames which is usually focused on. By far, most papers have contributed to image saliency but seldom to video saliency. Based on scene understanding, a new video saliency detection model with multi-features is proposed in this paper. ...
متن کاملRecurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation
We aim at segmenting small organs (e.g., the pancreas) from abdominal CT scans. As the target often occupies a relatively small region in the input image, deep neural networks can be easily confused by the complex and variable background. To alleviate this, researchers proposed a coarse-to-fine approach [46], which used prediction from the first (coarse) stage to indicate a smaller input region...
متن کاملDepth Matters: Influence of Depth Cues on Visual Saliency
Most previous studies on visual saliency have only focused on static or dynamic 2D scenes. Since the human visual system has evolved predominantly in natural three dimensional environments, it is important to study whether and how depth information influences visual saliency. In this work, we first collect a large human eye fixation database compiled from a pool of 600 2D-vs-3D image pairs view...
متن کاملBayesian Saliency via Low and Mid Level Cues: Appendix
1 Database Introduction We present empirical evaluation and analysis of the proposed Bayesian based methods on the MSRA salient object database [1] with the labeled ground truth [2]. The MSRA data set includes 5000 images and the salient objects of 10000 images are manually segmented by [2] with pixel-wise accuracy. In the section IV, we show some details of the database and we evaluate our alg...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2019.2892558